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Fei Zhu
Fei Zhu
Institute of Automation of Chinese Academy of Sciences
Verified email at ia.ac.cn - Homepage
Title
Cited by
Cited by
Year
Prototype augmentation and self-supervision for incremental learning
F Zhu, XY Zhang, C Wang, F Yin, CL Liu
CVPR 2021 (Oral), 5871-5880, 2021
2642021
Class-incremental learning via dual augmentation
F Zhu, Z Cheng, XY Zhang, C Liu
Advances in Neural Information Processing Systems 34, 14306-14318, 2021
1202021
Decoding lip language using triboelectric sensors with deep learning
Y Lu, H Tian, J Cheng, F Zhu, B Liu, S Wei, L Ji, ZL Wang
Nature communications 13 (1), 1401, 2022
1002022
Bioprinting of stem cells: Interplay of bioprinting process, bioinks, and stem cell properties
S Ding, L Feng, J Wu, F Zhu, Z Tan, R Yao
ACS Biomaterials Science & Engineering 4 (9), 3108-3124, 2018
402018
Rethinking Confidence Calibration for Failure Prediction
F Zhu, Z Cheng, XY Zhang, C Liu
ECCV 2022, 2022
202022
Adversarial training with distribution normalization and margin balance
Z Cheng, F Zhu, XY Zhang, CL Liu
Pattern Recognition 136, 109182, 2023
142023
OpenMix: Exploring Outlier Samples for Misclassification Detection
F Zhu, Z Cheng, XY Zhang, CL Liu
CVPR 2023 (Highlight), 2023
142023
Learning by seeing more classes
F Zhu, XY Zhang, RQ Wang, CL Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7477-7493, 2022
102022
Average of pruning: Improving performance and stability of out-of-distribution detection
Z Cheng, F Zhu, XY Zhang, CL Liu
arXiv preprint arXiv:2303.01201, 2023
72023
Calibration for non-exemplar based class-incremental learning
F Zhu, XY Zhang, CL Liu
ICME 2021 (Oral), 1-6, 2021
72021
Training with scaled logits to alleviate class-level over-fitting in few-shot learning
RQ Wang, F Zhu, XY Zhang, CL Liu
Neurocomputing 522, 142-151, 2023
62023
Honeybees prefer to steer on a smooth wall with tetrapod gaits
J Zhao, F Zhu, S Yan
Journal of Insect Science 18 (2), 45, 2018
62018
Towards trustworthy dataset distillation
S Ma, F Zhu, Z Cheng, XY Zhang
arXiv preprint arXiv:2307.09165, 2023
42023
Open-world machine learning: A review and new outlooks
F Zhu, S Ma, Z Cheng, XY Zhang, Z Zhang, CL Liu
arXiv preprint arXiv:2403.01759, 2024
32024
Class incremental learning with self-supervised pre-training and prototype learning
W Liu, X Wu, F Zhu, M Yu, C Wang, CL Liu
arXiv preprint arXiv:2308.02346, 2023
32023
Federated Class-Incremental Learning with Prototype Guided Transformer
H Guo, F Zhu, W Liu, XY Zhang, CL Liu
arXiv preprint arXiv:2401.02094, 2024
22024
Rethinking confidence calibration for failure prediction
F Zhu, Z Cheng, XY Zhang, CL Liu
arXiv preprint arXiv:2303.02970, 2023
22023
Imitating the Oracle: Towards Calibrated Model for Class Incremental Learning
F Zhu, Z Cheng, XY Zhang, CL Liu
Neural Networks, 2023
22023
Continual Forgetting for Pre-trained Vision Models
H Zhao, B Ni, H Wang, J Fan, F Zhu, Y Wang, Y Chen, G Meng, Z Zhang
arXiv preprint arXiv:2403.11530, 2024
12024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
F Zhu, XY Zhang, Z Cheng, CL Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
12023
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